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GIS-Based, Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the Regional, State, and National Levels
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | GIS-Based, Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the Regional, State, and National Levels. |
| 개인저자 | Mollalo, Abolfazl. |
| 단체저자명 | University of Florida. Geography. |
| 발행사항 | [S.l.]: University of Florida., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 139 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02A. Dissertation Abstract International |
| ISBN | 9798538125449 |
| 학위논문주기 | Thesis (Ph.D.)--University of Florida, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
Advisor: Glass, Gregory E. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Public health. Pathology. Epidemiology. Infectious diseases. Global positioning systems--GPS. Software. Geography. Investigations. Neural networks. Support vector machines. Geographic information systems. Dengue fever. Tuberculosis. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
